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cs.CL2026
Internalizing Tool Knowledge in Small Language Models via QLoRA Fine-Tuning
Yuval Shemla, Ayal Yakobe, Tanmay Agarwal +2
Large language models are increasingly used as planning components in agentic systems, but current tool-use pipelines often require full tool schemas to be included in every prompt…
cs.CL2025
Sparse Attention Remapping with Clustering for Efficient LLM Decoding on PIM
Zehao Fan, Garrett Gagnon, Zhenyu Liu +1
Transformer-based models are the foundation of modern machine learning, but their execution, particularly during autoregressive decoding in large language models (LLMs), places sig…